Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
⚡ Executive Summary & Quick Facts
Authoritative Sourcecode-review-graph is code-review-graph is an open-source project written in Python: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), tirth8205/code-review-graph has accumulated 32,669 GitHub stars and 2,973 forks. It is written in Python, licensed under MIT, and ranks #491 globally. It is actively maintained with the latest commit recorded on Nov 9, 2026.”
| Repository | tirth8205/code-review-graph ↗ |
|---|---|
| Primary Category | ai coding |
| Language & Stack | Python |
| Software License | MIT |
| Community Traction | ★ 32.7K stars · ⑂ 3K forks · #491 globally |
| Maintenance | ● Active (Last commit: Nov 9, 2026) · 119 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 100/100 · Grade A+Yes, code-review-graph is actively maintained. Continuous telemetry recorded the last code commit on Nov 9, 2026 (1 days ago). Supported by 32,669 stars and 2,973 community forks, this repository holds a calculated health index of 100/100, reflecting very active (commits within last 14 days) and healthy issue cadence.
Star History
Add Live Star History & Verified Badges to README.md
Keep your repository README looking professional and dynamic. As our continuous crawler records new stars, these official SVG badges update in real time with zero maintenance.
Renders your high-resolution star trajectory chart right inside your GitHub README or project docs.
[](https://githubrepo.cloud/repo/tirth8205/code-review-graph?utm_source=readme_chart)Compact badges for your README header. Real-time stars, velocity, health audit, and rank.
[](https://githubrepo.cloud/repo/tirth8205/code-review-graph?utm_source=readme_badge) [](https://githubrepo.cloud/repo/tirth8205/code-review-graph?utm_source=readme_badge) [](https://githubrepo.cloud/repo/tirth8205/code-review-graph?utm_source=readme_badge) [](https://githubrepo.cloud/repo/tirth8205/code-review-graph?utm_source=readme_badge) [](https://githubrepo.cloud/repo/tirth8205/code-review-graph?utm_source=readme_badge)Momentum
+817
STARS · LAST 30 DAYS
27
PER DAY
#111
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +189 | +817 | +2.4K |
| Per day | 27 | 27 | 27 |
| Forks gained | +15 | +59 | +149 |
code-review-graph gained 817 stars in the last 30 days, about 27 a day, and now has 32.7K. It is about 1 year old and has averaged roughly 32.7K stars a year. It ranks #111 among Python repositories and #491 across all languages on GitHubRepo.
Trending Record
2
DAYS ON TRENDING
#8310
BEST RANK
Nov 9, 2026
FIRST APPEARANCE
Active
STATUS TODAY
code-review-graph has maintained a continuous presence across global trending indexes, peaking at #8310. Below is the 30-day activity profile:
💡 Overview
code-review-graph is an open-source project written in Python: Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-coding, claude, claude-code. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install code-review-graph⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
code-review-graph coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with code-review-graph.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install code-review-graph using your package manager: `pip install code-review-graph`
Initialize your project workspace or configuration file for code-review-graph.
Import code-review-graph into your codebase or invoke it directly from your terminal.
Execute your test suite or run `code-review-graph --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
tirth8205/code-review-graph is currently ranked #491 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #486 | topoteretes/cognee | Python | ★ 33K | Compare ↗ |
| #487 | shadowsocks/ShadowsocksX-NG | Swift | ★ 32.9K | Compare ↗ |
| #488 | vorssaint/vorssaint-utils | Swift | ★ 32.8K | Compare ↗ |
| #489 | labstack/echo | Go | ★ 32.8K | Compare ↗ |
| #490 | lovell/sharp | JavaScript | ★ 32.7K | Compare ↗ |
| #491 | tirth8205/code-review-graph This Project | Python | ★ 32.7K | |
| #492 | honojs/hono | TypeScript | ★ 32.6K | Compare ↗ |
| #493 | filamentphp/filament | PHP | ★ 32.5K | Compare ↗ |
| #494 | CloakHQ/CloakBrowser | Python | ★ 32.4K | Compare ↗ |
| #495 | Zackriya-Solutions/meetily | Rust | ★ 32.4K | Compare ↗ |
| #496 | barry-ran/QtScrcpy | C++ | ★ 32.4K | Compare ↗ |
Frequently Asked Questions
What does code-review-graph do? +
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Is code-review-graph actively maintained in 2026? +
Yes, code-review-graph is actively maintained. The latest code push was recorded on Nov 9, 2026 (1 days ago). It holds a calculated Maintenance Health Score of 100/100 (A+ rating) with 32,669 stars and 119 open issues.
What language is code-review-graph written in? +
The primary language is Python. Topics include: ai-coding, claude, claude-code, code-review, graphrag.
How many stars does code-review-graph have? +
code-review-graph has 32,669 stars and 2,973 forks on GitHub.
How does code-review-graph rank among GitHub repositories? +
With 32,669 stars, tirth8205/code-review-graph is ranked #491 globally across all repositories tracked on GitHubRepo and #111 among Python projects.
What license is code-review-graph distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
